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Integrated Security Analysis on Cascading
Failure in Complex Networks
Abstract:
The security issue of complex networks has drawn significant concerns
recently. While pure topological analyzes from a network security perspective
provide some effective techniques, their inability to characterize the physical
principles requires a more comprehensive model to approximate failure behavior
of a complex network in reality. In this paper, based on an extended topological
metric, we proposed an approach to examine the vulnerability of a specific type of
complex network, i.e., the power system, against cascading failure threats. The
proposed approach adopts a model called extended between’s that combines
network structure with electrical characteristics to define the load of power grid
components. By using this power transfer distribution factor-based model, we
simulated attacks on different components (buses and branches) in the grid and
evaluated the vulnerability of the system components with an extended topological
cascading failure simulator. Influence of different loading and overloading
situations on cascading failures was also evaluated by testing different tolerance
factors. Finally, potential extensions of the approach were also discussed to exhibit
both utility and challenge in more complex scenarios and applications.

3. Existing System:
 It is notable that the threat of cascading failures, which is usually
caused by extreme random events in the past, can be intensified by the
growing integration and utilization of computer-based control and
communication networks.
 Increasing interconnection of local networks, growing communication
traffic and user demand, as well as diversifying services and emerging
new technologies, the complex systems are becoming increasingly
sophisticated to operate coordinately.
 In power system, the power does not follow the geodesic shortest path
from a generation bus to a load bus.

4. Proposed System:
 Secure a complex network system like power grid against cascading
failures has been motivating development of models and
methodologies to simulate potential selective attacks that result in
cascading failures in a power system with the consideration of specific
network physical properties.
 Malicious attackers can take advantage of the potential open access
from smart meters in the Advanced Metering Infrastructure (AMI) to
plan the attack with intelligence collected from their penetration, so
that they can maximize the impact of their attacks.

5. Software Requirements:
Platform : JAVA(JDK 1.6)
Front End : JAVA Swing
Back End : MySQL
IDE : Net Beans 6.9
Operating System : Microsoft Windows XP
Hardware Requirements:
Processor : Pentium IV Processor
RAM : 512 MB
Hard Disk : 10GB
Monitor : 14” VGA COLOR MONITOR